% % GENERATED FROM https://www.coli.uni-saarland.de % by : anonymous % IP : coli2006.lst.uni-saarland.de % at : Mon, 05 Feb 2024 15:41:21 +0100 GMT % % Selection : Author: Christof_Monz % @InProceedings{Gabsdil_Striegnitz:1999, AUTHOR = {Gabsdil, Malte and Striegnitz, Kristina}, TITLE = {Classifying Scope Ambiguities}, YEAR = {1999}, BOOKTITLE = {1st Workshop on Inference in Computational Semantics (ICoS-1), August 15}, PAGES = {125-131}, EDITOR = {Monz, Christof and de Rijke, Maarten}, ADDRESS = {Amsterdam, The Netherlands}, URL = {https://www.coli.uni-saarland.de/~kris/papers/icos99.ps.gz}, ABSTRACT = {We describe the architecture and implementation of a system which compares semantic representations of natural language input w.r.t. equivalence of logical content and context change potential. Giving a clear graphical representation of the relationship between different readings, the stand-alone version of the system can be used as a classroom tool. Furthermore the core system can be incorporated into other discourse processing systems (e.g. Johan Bos' DORIS system (Bos 1998) where one might want to ignore logically equivalent readings in order to keep the number of readings small and thus improve efficiency. The system relies heavily on existing implementations and code available via the internet. These are integrated and put to the desired use by a Prolog interface. By illustrating the architecture of this system, we want to argue that it is possible to build rather complex systems involving multiple levels of linguistic processing without having to spend an unreasonably large amount of time on the implementation of basic functionalities.}, ANNOTE = {COLIURL : Gabsdil:1999:CSA.pdf Gabsdil:1999:CSA.ps} } @InProceedings{BojBuc2013, AUTHOR = {Bojar, Ondřej and Buck, Christian and Callison-Burch, Chris and Federmann, Christian and Haddow, Barry and Koehn, Philipp and Monz, Christof and Post, Matt and Soricut, Radu and Specia, Lucia}, TITLE = {Findings of the 2013 Workshop on Statistical Machine Translation}, YEAR = {2013}, MONTH = {8-9 August}, BOOKTITLE = {8th Workshop on Statistical Machine Translation (WMT 2013)}, PAGES = {1-44}, ADDRESS = {Sofia, Bulgaria}, NOTE = {MP} }